2021 ChaLearn Looking at People Sign Language Recognition in the Wild Workshop at CVPR
Computer Vision Center (UAB) and University of Barcelona, Spain
Sergio Escalera is Full Professor at the Department of Mathematics and Informatics, Universitat de Barcelona, where he is the head of the Informatics degree. He is ICREA Academia. He leads the Human Pose Recovery and Behavior Analysis Group. He is Distinguished Professor at Aalborg University. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is also Fellow of the ELLIS European Laboratory for Learning and Intelligent Systems working within the Human-centric Machine Learning program. He participated in several international funded projects and received an Amazon Research Award. He has published more than 300 research papers and received a CVPR best paper award nominee and a CVPR outstanding reviewer award.
Hacer Yalim Keles
Ankara University, Turkey
Assoc. Prof. Dr. Hacer Yalim Keles received her B.S., M.S. and Ph.D. degrees in Computer Engineering from Middle East Technical University, Turkey, in 2002, 2005 and 2010, respectively. Her Ph.D. Thesis received the Thesis of the Year award by Middle East Technical University in 2010. From 2000 to 2007 she worked as a researcher and senior researcher at The Scientific and Technological Research Council of Turkey (TUBITAK). In 2010, she received an R&D grant from the Ministry of Industry and Trade of Turkey and established her R&D company. Her follow-up project SOYA was funded by TUBITAK in 2011 and later awarded by TUBITAK as one of the best venture projects and sent to Silicon Valley for investment negotiations. She is the first woman who took this grant in Turkey. She is currently working as an Assoc. Professor in the Department of Computer Engineering at Ankara University. She is the creator and the director of the CVML lab in her department (https://cvml.ankara.edu.tr). Her research interests lie predominantly in the areas of computer vision and machine learning, particularly in deep learning. Recently, she has been working in sign language recognition problems; her research project on the generation of a large-scale Turkish Sign Language dataset, which is funded by TUBITAK, has recently been completed with a novel dataset, i.e. AUTSL. The AUTSL dataset that is used in the competition part of this workshop is generated by the team in her CVML lab.
Julio C. S. Jacques Junior
Computer Vision Center (CVC), Spain
Julio C. S. Jacques Junior received his Ph.D. degree in Computer Science from PUCRS in 2012, Brazil. Currently, he is a postdoctoral researcher at the Computer Vision Center (CVC) at Universitat Autònoma de Barcelona (UAB), as a member of the Human Pose Recovery and Behavior Analysis (HUPBA) group. He collaborates within the University of Barcelona (UB) as a HUPBA member, and within ChaLearn and ChaLearn (LAP) Looking at People. He also has collaborated with the organization of some workshops and challenges organized by ChaLearn LAP (ECCV’16, ICPR’16, CVPR/IJCNN’17, NeurIPS'19, ECCV’20, CVPR’21). His research interests include, among others, computer vision-based applications with a particular focus on visual human behavior analysis.
Ozge Mercanoglu Sincan
Ankara University, Turkey
Özge Mercanoglu Sincan is a Ph.D. candidate and working as a Research Assistant at the Department of Computer Engineering, Ankara University. She is a member of the Computer Vision and Machine Learning (CVML) Lab in her department. She has been working in a research project related to deep learning, in collaboration with the industry. Her research interests lie in the areas of computer vision and deep learning, particularly in the sign language recognition problems. With respect to the Challenge proposal, she has strong experience with large scale dataset formatting and baseline methods for sign language recognition.